libdl
0.0.1
Simple yet powerful deep learning
|
Functions | |
TensorPtr | dl::pow (TensorPtr base, float exponent) noexcept |
Computes the exponent -th power of each element in base and returns the resulting tensor. | |
TensorPtr | dl::exp (TensorPtr x) noexcept |
Computes the elementwise x -th power of e. | |
TensorPtr | dl::log (TensorPtr x) noexcept |
Natural logarithm, \(\log_e(\,\cdot\,)\). | |
TensorPtr | dl::sqrt (TensorPtr x) noexcept |
Computes the elementwise square root of x . | |
TensorPtr | dl::rsqrt (TensorPtr x) noexcept |
Computes the reciprocal square root for each element in x . | |
Computes the elementwise x
-th power of e.
\[(x_i)_{1\leq i \leq n} \mapsto (e^{x_i})_{1\leq i \leq n}.\]
base |
x
-th power of e for each component of x
. Natural logarithm, \(\log_e(\,\cdot\,)\).
\[(x_i)_{1\leq i \leq n} \mapsto (\log_e x_i)_{1\leq i \leq n}.\]
x |
x
. Computes the exponent
-th power of each element in base
and returns the resulting tensor.
base | the basis for which to compute the exponent -th power. |
exponent | the exponent. |
exponent
-th power of each component of base
. Computes the reciprocal square root for each element in x
.
\[(x_i)_{1\leq i \leq n} \mapsto \left(\frac{1}{\sqrt{x_i}}\right)_{1\leq i \leq n}.\]
x |